Table 2 Multivariate logistic regression analysis of computed tomography features for distinguishing follicular neoplasm from nodular hyperplasia
From: Comparison of computed tomography features between follicular neoplasm and nodular hyperplasia
CT features | Odds Ratio* | p value |
|---|---|---|
Type of attenuation | 0.40 (0.11, 1.40) | 0.149 |
Pattern of attenuation | 0.58 (0.20, 1.72) | 0.328 |
Configuration | 2.73 (1.13, 6.57) | 0.026 |
Margin | 0.72 (0.43,1.22) | 0.224 |
Shape | 1.88 (0.89, 3.98) | 0.098 |
Calcifications | 1.44 (0.90. 2.23) | 0.128 |
Degree of enhancement | 2.14 (1.21, 3.78) | 0.009 |
Pattern of enhancement | 1.95 (0.422, 3.02) | 0.393 |
CT halo sign | 7.97 (2.74, 23.37) | < 0.001 |